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NY Times 23 Sept 2008 - time series of the day
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Stat 153 - 23 Sept 2008 D. R. Brillinger Chapter 4 - Fitting t.s. models in the time domain sample autocovariance coefficient. Under stationarity,...
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Estimated autocorrelation coefficient asymptotically normal interpretation
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Uses of acf mixing (asymptotically independent)? MA(q)? Seasonal component? ergodic
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Estimating the mean Can be bigger or less than 2 /N
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Fitting an autoregressive, AR(p) Easy. Remember regression and least squares normal equations
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AR(1) Cp.
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Fitting an MA(q). Later. There is an R program Fitting an ARMA(p,q). Later. There is an R program Estimating p, q, (p,q). Later. There is a criterion.
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Seasonal ARIMA. seasonal parameter s SARIMA(p,d,q) (P,D,Q) s Example
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Residual analysis. Paradigm observation = fitted value plus residual The parametric models have contained Z t
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Plot residuals vs. t Acf of residuals
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Portmanteau lack-of-fit statistic ARMA(p,q) appropriate?
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Model building (1) model formulation (2) model estimation (3) model checking All models are wrong but some are useful
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